Shayne Mei is a Senior Speech Engineer based in Seattle with eight years of experience building production speech technologies across ASR, TTS, diarization, and speaker ID. With an MS in Computational Linguistics from the University of Washington, she combines deep-learning model training and software development to ship end-to-end voice products at Seasalt.ai, where she progressed from intern to senior engineer. Proactive and self-motivated, she has applied ML to diverse domains—from personality classification via voice to automating newsroom workflows with NLP—demonstrating a knack for practical research-to-product translation. Fluent in English and Mandarin, she excels at cross-functional collaboration and product management, often bridging engineering, data, and user needs. Colleagues describe her as a quick learner with top-tier interpersonal skills who thrives on tackling messy real-world speech problems.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computational Linguistics, Master of Science - MS Computational Linguistics at University of Washington
Bachelor's degree Economics, Bachelor's degree Economics at National Taiwan University
English, French, Japanese, taiwanese hokkien, Spanish, Chinese
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